sentence-transformers/stsb

Dataset Card for STSB The Semantic Textual Similarity Benchmark (Cer et al., 2017) is a collection of sentence pairs drawn from news headlines, video and image captions, and natural language inference data. Each pair is human-annotated with a similarity score from 1 to 5. However, for this variant, the similarity scores are normalized to between 0 and 1. Dataset Details Columns: "sentence1", "sentence2", "score" Column types: str, str, float Examples:{… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/stsb.